Apache Kafka 和 Avro:无法将 org.apache.avro.generic.GenericData$Record 转换为 com.harmeetsingh13.java.Customer [英] Apache Kafka and Avro: org.apache.avro.generic.GenericData$Record cannot be cast to com.harmeetsingh13.java.Customer

问题描述

每当我试图从 kafka 队列读取消息时，我都会收到以下异常:

Whenever I am trying to read the message from kafka queue, I am getting following exception :

[error] (run-main-0) java.lang.ClassCastException: org.apache.avro.generic.GenericData$Record cannot be cast to com.harmeetsingh13.java.Customer
java.lang.ClassCastException: org.apache.avro.generic.GenericData$Record cannot be cast to com.harmeetsingh13.java.Customer
        at com.harmeetsingh13.java.consumers.avrodesrializer.AvroSpecificDeserializer.infiniteConsumer(AvroSpecificDeserializer.java:79)
        at com.harmeetsingh13.java.consumers.avrodesrializer.AvroSpecificDeserializer.main(AvroSpecificDeserializer.java:87)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)

Kafka 生产者代码:

Kafka Producer Code:

public class AvroSpecificProducer {
    private static Properties kafkaProps = new Properties();
    private static KafkaProducer<String, Customer> kafkaProducer;

    static {
        kafkaProps.put("bootstrap.servers", "localhost:9092");
        kafkaProps.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, KafkaAvroSerializer.class);
        kafkaProps.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, KafkaAvroSerializer.class);
        kafkaProps.put("schema.registry.url", "http://localhost:8081");
        kafkaProducer = new KafkaProducer<>(kafkaProps);
    }

    public static void fireAndForget(ProducerRecord<String, Customer> record) {
        kafkaProducer.send(record);
    }

    public static void asyncSend(ProducerRecord<String, Customer> record) {
        kafkaProducer.send(record, (recordMetaData, ex) -> {
            System.out.println("Offset: "+ recordMetaData.offset());
            System.out.println("Topic: "+ recordMetaData.topic());
            System.out.println("Partition: "+ recordMetaData.partition());
            System.out.println("Timestamp: "+ recordMetaData.timestamp());
        });
    }

    public static void main(String[] args) throws InterruptedException, IOException {
        Customer customer1 = new Customer(1002, "Jimmy");
        ProducerRecord<String, Customer> record1 = new ProducerRecord<>("CustomerSpecificCountry",
                "Customer One 11 ", customer1
        );

        asyncSend(record1);

        Thread.sleep(1000);
    }
}

Kafka 消费者代码:

Kafka Consumer Code:

public class AvroSpecificDeserializer {

    private static Properties kafkaProps = new Properties();

    static {
        kafkaProps.put(ConsumerConfig.GROUP_ID_CONFIG, "CustomerCountryGroup1");
        kafkaProps.put("zookeeper.connect", "localhost:2181");
        kafkaProps.put("schema.registry.url", "http://localhost:8081");
    }

    public static void infiniteConsumer() throws IOException {
        VerifiableProperties properties = new VerifiableProperties(kafkaProps);
        KafkaAvroDecoder keyDecoder = new KafkaAvroDecoder(properties);
        KafkaAvroDecoder valueDecoder = new KafkaAvroDecoder(properties);

        Map<String, Integer> topicCountMap = new HashMap<>();
        topicCountMap.put("NewTopic", 1);

        ConsumerConnector consumer = createJavaConsumerConnector(new kafka.consumer.ConsumerConfig(kafkaProps));
        Map<String, List<KafkaStream<Object, Object>>> consumerMap = consumer.createMessageStreams(topicCountMap, keyDecoder, valueDecoder);

        KafkaStream stream = consumerMap.get("NewTopic").get(0);
        ConsumerIterator it = stream.iterator();

        System.out.println("???????????????????????????????????????????????? ");
        while (it.hasNext()) {
            System.out.println(">>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> ");
            MessageAndMetadata messageAndMetadata = it.next();
            String key = (String) messageAndMetadata.key();
            GenericRecord record = (GenericRecord) messageAndMetadata.message();
            Customer customer = (Customer) SpecificData.get().deepCopy(Customer.SCHEMA$, record);
            System.out.println("Key: " + key);
            System.out.println("Value: " + customer);
        }

    }

    public static void main(String[] args) throws IOException {
        infiniteConsumer();
    }
}

我正在关注，这些例子:

I am following, These examples:

1. https://github.com/confluentinc/examples/blob/3.1.x/kafka-clients/specific-avro-producer/src/main/java/io/confluent/examples/producer/AvroClicksProducer.java
2. https://github.com/confluentinc/examples/blob/3.1.x/kafka-clients/specific-avro-consumer/src/main/java/io/confluent/examples/consumer/AvroClicksSessionizer.java

推荐答案

这是与@harmeen 讨论后最终可行的代码

This is the final code that would work, after discussing with @harmeen

static { 
    kafkaProps.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "smallest"); 
    kafkaProps.put(ConsumerConfig.GROUP_ID_CONFIG, "CustomerCountryGroup1"); 
    kafkaProps.put("zookeeper.connect", "localhost:2181"); 
    kafkaProps.put("schema.registry.url", "http://localhost:8081"); 
    kafkaProps.put(KafkaAvroDeserializerConfig.SPECIFIC_AVRO_READER_CONFIG, true); 
}

public static void infiniteConsumer() throws IOException { 

VerifiableProperties properties = new VerifiableProperties(kafkaProps); 
StringDecoder keyDecoder = new StringDecoder(properties); 
KafkaAvroDecoder valueDecoder = new KafkaAvroDecoder(properties); 

Map<String, Integer> topicCountMap = new HashMap<>(); 
topicCountMap.put("BrandNewTopics", 1); 

ConsumerConnector consumer = createJavaConsumerConnector(new kafka.consumer.ConsumerConfig(kafkaProps)); 
Map<String, List<KafkaStream<String, Object>>> consumerMap = consumer.createMessageStreams(topicCountMap, keyDecoder, valueDecoder); 

KafkaStream stream = consumerMap.get("BrandNewTopics").get(0); 
ConsumerIterator it = stream.iterator(); 

while (it.hasNext()) { 
    MessageAndMetadata messageAndMetadata = it.next(); 
    String key = (String) messageAndMetadata.key(); 
    GenericRecord record = (GenericRecord) messageAndMetadata.message(); 
    Customer customer = (Customer) SpecificData.get().deepCopy(Customer.SCHEMA$, record); 
    System.out.println("Key: " + key); 
    System.out.println("Value: " + customer); 
} 

发生变化的事情:

• 将 SPECIFIC_AVRO_READER_CONFIG 属性添加为 true.
• 使用smallest从主题的开头开始.
• 使用 StringSerializer 和 StringDeserializer 作为键.
• 同时更改生产者和消费者以反映之前的更改
• 调整代表 Avro 记录的 Customer 类的命名空间.

• Adding SPECIFIC_AVRO_READER_CONFIG property to true.
• Using smallest to start from the beginning of the topic.
• Using StringSerializer and StringDeserializer for keys.
• Change both producer and consumer to reflect the previous change
• Adjust the namespace for the Customer class that represents the Avro record.

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